Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Zhang-Henry/CoEvoSkills --skill evo-dice-game-scoringgit clone --depth 1 https://github.com/Zhang-Henry/CoEvoSkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zhang-henry/coevoskills/evo-dice-game-scoring)<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-dice-game-scoring"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-dice-game-scoring/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-dice-game-scoring"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-dice-game-scoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.00350 |
| Opus 5 | $0.00023 | $0.00175 |
| Sonnet 5 | $0.00009 | $0.00070 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
evo-dice-game-scoring scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Dice Game Scoring Optimization
This skill handles dice game analysis tasks where:
- A workbook contains dice roll data (6 rolls per turn, 2 turns per game)
- Turns must be scored using categories with specific rules
- Games are scored by optimally assigning different categories to each turn
- Questions involve comparing players across matched games
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-dice-game-scoring/scripts')
from dice_scoring import (
parse_dice_data,
compute_all_scores,
best_game_score,
compute_all_game_scores,
match_players
)
# Parse data
turns, games = parse_dice_data('/root/data.xlsx')
# Compute all game scores
game_scores = compute_all_game_scores(games)
# Match players: odd games = P1, even games = P2
p1_wins, p2_wins, ties = match_players(game_scores)
result = p1_wins - p2_wins
with open('/root/answer.txt', 'w') as f:
f.write(str(result))
Key Design Decisions
- Missing turns are handled gracefully (1-turn games scored with best single category)
- The "Ordered subset of four" category checks consecutive positions in roll order
- Category assignment optimization uses brute-force over 6 categories (fast enough)
- PDF background must be read at runtime to extract exact scoring rules
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 47 lines · 46 tokens per session scan A 1b0ed9c20235
evo-dice-game-scoring is a skill published in the GitHub repository Zhang-Henry/CoEvoSkills (66 stars, last pushed 22d ago), licensed Apache-2.0. It adds 46 tokens to every session and 350 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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